Investors bet on AI-native security as legacy models falter
A new episode of TechCrunch's Equity podcast examines the shift toward AI-native cybersecurity, with Index Ventures partner Shardul Shah explaining why periodic, human-in-the-loop security is insufficient. The discussion comes as cybersecurity stocks rise and startups like Instinct and Simile raise nine-figure rounds. Shah also discusses his firm's investment in Wiz, which Google acquired for $32 billion.
The Equity podcast episode features Index Ventures partner Shardul Shah, who backed cloud security firm Wiz across six consecutive funding rounds before Google's $32 billion acquisition. Shah argues that traditional security models relying on periodic human review cannot match the speed of AI-driven threats, making continuous, AI-native protection necessary.
Investor enthusiasm is evident in recent funding activity, with startups Instinct and Simile securing nine-figure investments at valuations that seemed improbable just a few years ago. Rising cybersecurity stock prices reflect growing concern over AI safety and autonomous agents, prompting venture firms to fund AI-native security companies at earlier stages than previously typical.
This shift toward AI-native security could significantly alter how organizations defend against increasingly automated cyber threats. If human-in-the-loop models prove inadequate, businesses may depend more heavily on autonomous systems, potentially reducing human oversight in critical security decisions. This may introduce new vulnerabilities even as it addresses existing ones, affecting enterprises, government agencies, and individuals whose data relies on these defenses. The outcome could shape broader trust in AI-driven protection mechanisms across industries.